Why Ripple Won’t Be Just A Regular Bank – The Fed Master Account Application Is A Game-Changer

bitcoinistОпубликовано 2025-10-08Обновлено 2025-10-08

Введение

Software engineer Vincent Van Code has declared that Ripple will not be just a regular bank. He also alluded to...

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

Software engineer Vincent Van Code has declared that Ripple will not be just a regular bank. He also alluded to the Fed Master application as one of the interesting aspects amid the crypto firm’s move to obtain a national trust charter. 

Why Ripple Won’t Be A Regular Retail-Style Bank

Vincent Van Code stated that Ripple won’t be a regular retail-style bank following the revelation that the crypto firm was a member of the American Bankers Association (ABA). He stated that it was big news, but opined that Ripple’s application for a Fed Master account is more interesting. The software engineer added that it is surprising how the whole market is oblivious to these advancements and that the XRP price is still hovering around $3. 

Ripple had, through its subsidiary Standard Custody & Trust Company, applied for a Fed Master account at the same time it applied for a national banking license. The firm’s CEO, Brad Garlinghouse, had explained back then that this would enable them to custody their RLUSD reserves directly with the Federal Reserve, further adding another layer of security for the stablecoin. 

Meanwhile, Crypto pundit unknowDLT was the one who pointed out that Ripple was a member of the ABA, while USDC issuer Circle, which has applied for a national banking license, is not. The pundit further remarked that this means that only one crypto company can be considered a bank. UnknowDLT indicated that big things are in store for Ripple and XRP, declaring that the crypto firm will become the world’s largest bank. 

UnknowDLT also echoed Vincent Van Code’s sentiment that the market is oblivious to the advancements that are on the horizon for Ripple and XRP. The crypto pundit claimed that retail investors are distracted by memes and Bitcoin. 

The pundit further remarked that people think that Ripple is dumping XRP on retail investors while the firm continues to build the infrastructure for the new financial system. UnknowDLT added that people have not realized the great potential for appreciation that the XRP will have. 

The Firm’s Application Open For Public Review

XRP influencer Pumpius revealed that Ripple’s application for a U.S. banking license from the Office of the Comptroller of the Currency (OCC) is now open for public review. He remarked that the crypto firm is becoming a bank and that the same company the SEC fought for years is now positioning itself as the “bank of banks” built not on legacy rails but on the XRP Ledger

Pumpius added that Ripple’s shift from a crypto company to a liquidity institution is almost complete. It is worth mentioning that the crypto firm is one of many firms that have applied for a national banking license, including Paxos and Circle. Crypto exchange Coinbase also filed for a national trust charter last week.

Ripple
XRP trading at $2.96 on the 1D chart | Source: XRPUSDT on Tradingview.com
Featured image from Getty Images, chart from Tradingview.com
Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Scott Matherson is a leading crypto writer at Bitcoinist, who possesses a sharp analytical mind and a deep understanding of the digital currency landscape. Scott has earned a reputation for delivering thought-provoking and well-researched articles that resonate with both newcomers and seasoned crypto enthusiasts. Outside of his writing, Scott is passionate about promoting crypto literacy and often works to educate the public on the potential of blockchain.

Похожее

Alibaba 'Stocks Up', ByteDance 'Trains'

"In late May, two closely timed events in China's AI industry clearly revealed the divergent strategic approaches of two tech giants: Alibaba and ByteDance. Alibaba is aggressively integrating AI into its existing commercial ecosystem, prioritizing immediate monetization. Its Qwen App now fully integrates with Taobao, leveraging the platform's 4-billion-item database for AI-powered shopping features like virtual try-on and price comparison. Internally, Alibaba has reorganized to incentivize AI-driven business growth, notably through the 'Agentic Commerce Trust Protocol' to enable AI-agent transactions. Financially, it emphasizes ROI, with CEO Daniel Wu stating every AI chip purchased is generating revenue. Alibaba's strategy bets that foundational AI model capabilities won't be leapfrogged in the next five years, allowing its 'AI-as-a-utility' approach to succeed. In stark contrast, ByteDance's Seed division focuses on pushing the frontiers of AGI with a long-term, research-oriented mindset. Its video generation model, Seedance 2.0, topped international benchmarks. The division, led by researchers Wu Yonghui and product head Zhu Wenjia, is tasked with 'exploring the upper limits of intelligence,' even considering open-sourcing its models—a rare move among Chinese firms. ByteDance is investing heavily, with reports of its 2026 capital expenditure plan being nearly triple that of 2024, funded by its substantial private profits. This allows it to pursue projects like an 8-month research paper questioning if video models are true 'world models,' devoid of immediate commercial pressure. The core divergence is less about corporate philosophy and more about structural constraints. As a publicly traded company, Alibaba is bound to quarterly financial expectations, forcing a pragmatic, revenue-focused AI integration. As a private entity, ByteDance has the luxury to fund long-term, high-risk foundational research without answering to public markets. The article concludes that the true determinant of a Chinese company's AI path is its IPO status, suggesting that if ByteDance were public, or if Alibaba were private, their strategies might well be reversed."

marsbit54 мин. назад

Alibaba 'Stocks Up', ByteDance 'Trains'

marsbit54 мин. назад

Why More AI Agents Does Not Equal Higher Productivity?

Editor's Note: As AI Agents become cheaper and easier to use, a new constraint emerges: the cost isn't in launching more Agents, but in the human attention required to manage, judge, and integrate their outputs. This hidden cost is called the "orchestration tax." The article argues that a developer's cognitive bandwidth is the key bottleneck—a serial, non-parallelizable resource akin to a Global Interpreter Lock (GIL). While many Agents can run concurrently, their results ultimately require human judgment for review, conflict resolution, and final integration. Therefore, more Agents don't automatically mean higher productivity; they can simply create longer queues, lead to cognitive fatigue, and create the illusion of busyness without real output. The core solution is to design workflows around this scarce human attention. Key strategies include: scaling the number of Agents to match review capacity (not UI capacity), categorizing tasks (delegating independent ones, keeping complex judgment-heavy ones serial), batch reviewing results to minimize context-switching costs, automating verifiable checks to reserve human judgment for critical decisions, and protecting focused, uninterrupted thinking time. Ultimately, the critical skill is not launching many Agents, but architecting systems that respect the fundamental limit of human attention. Unpaid "orchestration tax" accumulates as both technical and cognitive debt, undermining system understanding and quality. True productivity comes from thoughtfully managing the single-threaded resource—your focus.

marsbit2 ч. назад

Why More AI Agents Does Not Equal Higher Productivity?

marsbit2 ч. назад

Three Years Later: Looking Back at My Predictions About ChatGPT in 2023

Three Years Later: Revisiting My 2023 Predictions on ChatGPT In March 2023, shortly after ChatGPT's launch, I made 20 predictions about its future. Now, in mid-2026, I've used AI agents to fact-check each one against the latest data. Overall, most major directional forecasts were correct, with only one outright error (incorrectly stating GPT-4 had 100 trillion parameters). Key successes included predicting that RAG and retrieval architectures would become the standard for handling knowledge and hallucinations, that natural language interfaces (LUI) would create a massive new industry layer beyond the models themselves, and that China would develop viable large language models, significantly closing the performance gap with Western counterparts within about three years. Predictions about the absence of mass unemployment, the rise of a new "robot network" for agent communication, and ChatGPT not possessing consciousness also held true in their core arguments. However, the "devil was in the details." Errors frequently involved specific numbers, timelines, or overlooking distributional effects. I tended to overestimate the speed of adoption (e.g., for agent networks) while underestimating the ultimate scale of capabilities or costs (e.g., AI winning IMO gold without tools, or the extreme capital required for frontier models). Other misjudgments included: underestimating how AI would reinforce, not dissolve, information filter bubbles; incorrectly assuming AI-generated content would easily circumvent copyright (it has instead triggered record-breaking settlements); and misidentifying where value would be captured (it accrued overwhelmingly to the compute layer, like Nvidia, not just the application or model layers). Key lessons from reviewing these predictions are: 1) Directional and mechanistic insights are far more reliable than precise numbers or absolute statements. 2) There's a consistent bias to overestimate short-term speed but underestimate long-term magnitude. 3) Errors often lie in missing distributional impacts within a generally correct aggregate trend. 4) Predictions phrased with nuance and caveats aged the best. 5) Some fundamental debates (e.g., on machine consciousness or the ultimate value chain) remain unresolved even after three years. This exercise is less about scoring the past and more about establishing rules for clearer thinking about the next three years of AI.

marsbit9 ч. назад

Three Years Later: Looking Back at My Predictions About ChatGPT in 2023

marsbit9 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить T

Добро пожаловать на HTX.com! Мы сделали приобретение Threshold Network Token (T) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Threshold Network Token (T).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Threshold Network Token (T)После приобретения вами Threshold Network Token (T) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Threshold Network Token (T)С легкостью торгуйте Threshold Network Token (T) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

833 просмотров всегоОпубликовано 2024.03.29Обновлено 2025.03.21

Как купить T

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на T (T) представлены ниже.

活动图片